A Multi-Agent System assigns each AI Agent a defined role—running in parallel, converging on outcomes no single agent could produce alone.
A multi-agent system is an architecture in which multiple AI Agents collaborate within an Agentic AI deployment, each with a defined role, to complete tasks too complex for any single agent to handle alone.
One agent monitors demand signals; a second adjusts procurement orders; a third revises the production schedule. Each operates in parallel, passing outputs forward, and converging on an outcome no individual component could produce independently.
The architecture mirrors a production line: specialized stations, sequential handoffs, coordinated throughput. The system as a whole is more responsive and more capable than any single agent working in isolation.